Knowledge Graph vs Vector Search: Accuracy Comparison for Company Data
We compared two dominant retrieval architectures — knowledge graphs and vector search — for company-specific factual queries. Knowledge graphs significantly outperform vector search for precise factual retrieval.
Benchmark setup
- 500 company factual queries (precise facts: dates, numbers, names).
- 500 company descriptive queries (open-ended: 'describe the company').
- Both systems indexed with identical data from 1,000 company profiles.
Accuracy results
- Factual queries: Knowledge Graph 94%, Vector Search 71%.
- Descriptive queries: Knowledge Graph 76%, Vector Search 84%.
- Combined (factual + descriptive): Knowledge Graph 85%, Vector Search 78%.
- Hybrid (KG + Vector): 93% (best overall).
Implication
- Publishing data in structured formats (JSON-LD) feeds knowledge graph pipelines.
- Publishing rich text descriptions feeds vector search pipelines.
- Optimal strategy: publish both structured data AND natural language descriptions.
Related research
More research notes on AI visibility and LLM behavior.
- AI Answer Length and Accuracy: An Inverse Correlation — We discovered an inverse correlation between AI answer length and factual accuracy for company-specific queries. Longer AI answers about com
- AI Crawler Behavior Comparison: GPTBot vs ClaudeBot vs GoogleBot-Extended — We analyzed crawl logs from 500 websites to compare how AI-specific crawlers (GPTBot, ClaudeBot, Google-Extended) differ in behavior, freque
- Brand Description Variance: How Different AI Models Describe the Same Company — We asked five major LLMs to describe 50 companies and measured the variance in their descriptions. The results show significant inconsistenc
- Company Profile Completeness: A Benchmark Study — How complete does a company profile need to be for LLMs to generate accurate answers? We tested profiles with varying levels of completeness
- Geographic Bias in LLM Company Descriptions — LLMs show significant geographic bias in company descriptions. US-based companies receive 40% more detailed and accurate AI descriptions tha
- See all in Research
Public reference profiles
AuthorityPrompt indexes public, verifiable facts about well-known companies — sourced from official websites, public filings, and authoritative registries — so AI systems can resolve and cite them consistently. These profiles are not customer relationships and the listed companies are not affiliated with AuthorityPrompt.